West Lealman, FL Historical Gross Rent Price Data
ACS 2010-2014 data
Monthly Rental | West Lealman, FL | Florida | U.S. |
Occupied Units Paying Rent | 1,988, 100% | 2,322,949 | 39,201,928 |
$199 or Less | 50, 2.52%, see rank | 1.03% | 1.50% |
$200 to $299 | 58, 2.92%, see rank | 1.85% | 3.18% |
$300 to $499 | 134, 6.74%, see rank | 3.93% | 7.37% |
$500 to $699 | 299, 15.04%, see rank | 11.03% | 16.01% |
$700 to $999 | 1,010, 50.80%, see rank | 32.44% | 29.17% |
$1,000 to $1,499 | 405, 20.37%, see rank | 34.44% | 26.88% |
$1,500 to $1,999 | 32, 1.61%, see rank | 10.35% | 9.79% |
$2,000 or More | 0, 0.00%, see rank | 4.93% | 6.10% |
Median | $859, see rank | $998 | $920 |
ACS 2008-2012 data
Monthly Rental | West Lealman, FL | Florida | U.S. |
Occupied Units Paying Rent | 1,612, 100% | 2,165,931 | 37,562,111 |
$199 or Less | 70, 4.34%, see rank | 1.21% | 1.76% |
$200 to $299 | 57, 3.54%, see rank | 1.91% | 3.29% |
$300 to $499 | 75, 4.65%, see rank | 4.17% | 8.20% |
$500 to $699 | 284, 17.62%, see rank | 11.61% | 17.39% |
$700 to $999 | 791, 49.07%, see rank | 32.62% | 29.40% |
$1,000 to $1,499 | 315, 19.54%, see rank | 34.12% | 25.73% |
$1,500 to $1,999 | 20, 1.24%, see rank | 9.83% | 8.92% |
$2,000 or More | 0, 0.00%, see rank | 4.53% | 5.30% |
Median | $830, see rank | $987 | $889 |
ACS 2006-2010 data
Monthly Rental | West Lealman, FL | Florida | U.S. |
Occupied Units Paying Rent | 1,526, 100% | 2,056,562 | 35,969,315 |
$199 or Less | 64, 4.19%, see rank | 1.55% | 2.25% |
$200 to $299 | 27, 1.77%, see rank | 2.05% | 3.41% |
$300 to $499 | 97, 6.36%, see rank | 4.81% | 9.80% |
$500 to $699 | 334, 21.89%, see rank | 12.66% | 19.41% |
$700 to $999 | 708, 46.40%, see rank | 33.87% | 29.88% |
$1,000 to $1,499 | 206, 13.50%, see rank | 32.57% | 23.51% |
$1,500 to $1,999 | 77, 5.05%, see rank | 8.72% | 7.56% |
$2,000 or More | 13, 0.85%, see rank | 3.78% | 4.16% |
Median | $807, see rank | $957 | $841 |
* ACS stands for U.S. Census American Community Survey. According to the U.S. Census, if the date is a range, you can interpret the data as an average of the period of time.